code: def _parse_off(lines):
      n_verts, n_faces, _ = map(int, lines[0].split(" "))
  
      # Read vertices
      verts = np.array(
          [line.strip().split(" ") for line in lines[1 : n_verts + 1]]
      ).astype(float)
  
      # Read faces
      faces = lines[n_verts + 1 : n_verts + 1 + n_faces]
      faces = [list(map(int, f.split(" "))) for f in faces]
      triangles = np.array(
          list(filter(lambda f: len(f) == 4, faces))
      ).astype(int)
      rectangles = np.array(
          list(filter(lambda f: len(f) == 5, faces))
      ).astype(int)
      if len(rectangles) > 0:
          tri_a = rectangles[:, [1, 2, 3]]
          tri_b = rectangles[:, [1, 2, 4]]
          triangles = np.vstack((triangles, tri_a, tri_b))
      triangles = triangles[:, 1:]
      triangles = triangles[triangles[:, 0].argsort()]
  
      return verts, triangles
  
imports: import ast
  import sys
  import joblib
  import networkx
  import numpy
  import pandas
  import scipy.sparse
  from spektral.data.graph import Graph
label_desc: Use image node_id 11 for calling a global function with example usage: _parse_off(lines) and returns: verts,  triangles